Osteoarthritis imaging最新文献

{"title":"TOPOGRAPHY OF SEX-RELATED FEMOROTIBIAL CARTILAGE THICKNESS DIFFERENCES: A MATCHED MALE-FEMALE PAIR ANALYSIS CONTROLLING FOR AGE, BMI, AND HEIGHT","authors":"N. Spoelder ,&nbsp;W. Wirth ,&nbsp;T.D. Turmezei ,&nbsp;F. Eckstein ,&nbsp;D.A. Kessler ,&nbsp;J.W. Mackay ,&nbsp;M. Karperien ,&nbsp;S.C. Mastbergen ,&nbsp;M.P. Jansen","doi":"10.1016/j.ostima.2025.100350","DOIUrl":"10.1016/j.ostima.2025.100350","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>Knee OA is both more common and progresses faster in women than in men. While it is well known that men exhibit thicker cartilage, it remains unclear whether this difference is inherently sex-based or attributable to confounding factors such as age, BMI, and/or height.</div></div><div><h3>OBJECTIVE</h3><div>The aim of this study was to evaluate regional differences in knee cartilage thickness between men and women without radiographic OA, who were matched for age, BMI, and height.</div></div><div><h3>METHODS</h3><div>Participants without radiographic signs of knee OA were selected from the Osteoarthritis Initiative (OAI). Men and women were matched based on height (±1 cm), age (±5 years), and BMI (±2 kg/m²), yielding 63 male-female pairs (n = 126; mean age 57 ± 8 years, BMI 26 ± 4 kg/m², height 170 ± 5 cm). Right knee 3T MRI scans were processed using a deep learning model to generate preliminary automatic segmentations of the outer femoral and tibial contours and the inner cartilage boundaries. These segmentations were manually refined in Stradview and converted into 3D surface models. Cartilage thickness was computed at each vertex as the distance from the cartilage surface to the underlying bone, measured along the normal vector using model-based deconvolution. The femoral, medial tibial, and lateral tibial surfaces and their associated thickness maps were spatially aligned to canonical templates using wxRegSurf. Statistical analyses were performed in MATLAB using the SurfStat package, applying statistical parametric mapping (SPM) with linear mixed models to evaluate paired male-female differences. Significance was set at p &lt; 0.05.</div></div><div><h3>RESULTS</h3><div>Figure 1 shows the average cartilage thickness in men and women, as well as the differences between sexes. The difference map is predominantly blue, indicating thicker cartilage in men. In both sexes, cartilage was thicker on the lateral side than on the medial side. The trochlea had the greatest thickness overall, with a maximum of 3.98 mm in men and 3.30 mm in women. Statistically significant differences in cartilage thickness between men and women were observed in specific regions of the femur, medial tibia, and lateral tibia (Figure 2). In those regions in the femur, cartilage was thicker in men, with a mean thickness of 2.77 mm compared to 2.42 mm in women, a difference of 0.36 mm (15%). In both the statistically significant different regions of the medial and lateral tibia, cartilage thickness was 0.09 mm (4%) greater in men than in women, with means of 2.26 mm versus 2.17 mm and 2.19 mm versus 2.10 mm, respectively.</div></div><div><h3>CONCLUSION</h3><div>Despite similar height, age, and BMI, men exhibited thicker femorotibial cartilage than women. Statistically significant differences were found across all three joint surfaces, with the largest difference observed in the trochlea. These findings underscore the need for further research in","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100350"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"INCREASED BMI IS A MODIFIABLE RISK FACTOR OF SUBCHONDRAL INSUFFICENCY FRACTURE OF THE KNEE","authors":"M.Z. Alzaher ,&nbsp;W. Issa ,&nbsp;J. Husseini ,&nbsp;A. Huang ,&nbsp;A. Guermazi ,&nbsp;M. Jarraya","doi":"10.1016/j.ostima.2025.100276","DOIUrl":"10.1016/j.ostima.2025.100276","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>Subchondral insufficiency fractures of the knee (SIFK) are increasingly recognized as an important, but often underdiagnosed, cause of acute knee pain and functional decline, particularly in middle-aged and older adults. Existing studies on SIFK are often limited in number and lack a sufficient number of controls. Because of its rare occurrence in the general population and in major epidemiological studies, our understanding of the risk factors of SIFK remains limited. It has been hypothesized that excessive joint loading leads to focal stress concentrations within the subchondral bone plate, overwhelming its capacity for repair and ultimately predisposing to a microfracture. However, it remains unclear whether BMI is modifiable risk factor of SIFK.</div></div><div><h3>OBJECTIVE</h3><div>Our aim is to investigate the association between BMI and the occurrence of MRI-detected SIFK in a clinical setting.</div></div><div><h3>METHODS</h3><div>We conducted a case–control study at a tertiary academic hospital network from November 2022 to October 2024. Cases were identified using an institutional repository, based on MRI reports containing the diagnosis “subchondral insufficiency fracture”. The diagnosis of SIFK was confirmed by a MSK radiologist who reviewed all images. Matched controls were defined as patients within 5 years of age who underwent knee MRI for knee pain over the same period (±10 days) and who did not have subchondral insufficiency fracture on MRI (both in the MR report and after review of images). Electronic medical records were manually checked for the primary independent variable, BMI, and other variables such as age, sex, dyslipidemia, statin use, diabetes mellitus, and hypertension. Univariable and multivariable logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using SIFK as the primary dependent variable. Missing data on variables in the logistic regression model will be handled by listwise deletion.</div></div><div><h3>RESULTS</h3><div>The mean age (±SD) in years was 63.2 (±10.2) for the cases and 64.3 (±10.4) for the controls. Females made up 64% of the cases and 67% of the controls. Median (Q1–Q3) BMI was 29.5 kg/m² (26.0–34.4) for the cases and 27.1 kg/m² (23.7–31.4) for the controls. A two-sample t-test showed that BMI was significantly higher in the cases than in controls (p-value = 0.015). Univariable logistic regression with SIFK as the dependent variable and BMI as the independent variable estimated an OR of 1.06 (95% CI: 1.01–1.10). This statistically significant result remained after adjusting potential confounders such as sex, dyslipidemia, and statin use with an estimated OR of 1.05 (95% CI: 1.01–1.10) (<strong>figure 1 and table 1</strong>). <strong>Figure 2</strong> shows an example of SIFK.</div></div><div><h3>CONCLUSION</h3><div>Our preliminary results indicate that elevated BMI may be linked to greater odds of hav","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100276"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OSTEOARTHRITIS AND CHRONIC BACK PAIN ARE ASSOCIATED WITH LATERAL SPINE SHAPE: A STUDY USING THE UK BIOBANK","authors":"F.R. Saunders ,&nbsp;J. Parkinson ,&nbsp;R.M. Aspden ,&nbsp;T. Cootes ,&nbsp;J.S. Gregory","doi":"10.1016/j.ostima.2025.100315","DOIUrl":"10.1016/j.ostima.2025.100315","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>Chronic back pain is very common and affects over 600 million adults worldwide and has been partly attributed to OA. We have previously shown that the lateral spine has an intrinsic shape and that specific shapes have been shown to be associated with back pain in early old age. However, there is little evidence in the literature that directly links lateral spine shape with OA.</div></div><div><h3>OBJECTIVE</h3><div>To explore the relationships between OA, chronic back pain and lateral spine shape in a sub-cohort of the UK Biobank.</div></div><div><h3>METHODS</h3><div>Lateral spine iDXA scans (n=4784) from the UK Biobank imaging enhancement study were used. The cohort was 52.1% female, and the mean age was 62.2±7.5 years (Table 1). Images were annotated semi-automatically using a 143-point template encompassing the vertebral bodies from T7 to the superior margin of L5 using custom software (The University of Manchester). The points were subjected to Procrustes transform and then Principal Component Analysis to build a statistical shape model (SSM). Self-reported OA and chronic back pain (greater than 3 months duration) were taken from the questionnaire data provided at the imaging centre visit. Binary logistic regression was used to explore the associations between self-reported OA, chronic back pain, and the first 10 modes of variation. The model was adjusted for age, sex, height, weight and total spine BMD. We report odds ratios (OR) with 95% confidence intervals (CI) for each standard deviation change in mode.</div></div><div><h3>RESULTS</h3><div>537 participants reported OA (not site specific) and 630 reported chronic back pain. The first 10 SSM modes accounted for 88.9% of the total model variation. We found that three modes were associated with self-reported OA (modes 3,9 &amp; 10) and a single mode was associated with chronic back pain (mode 3). It was observed that mode 3 (6.5% total model variation; Fig 1.), describing vertebral height and decreased vertebral column height was negatively associated with both self-reported OA [OR 0.88 95% CI 0.8-0.97, p=0.007] and chronic back pain [OR 0.81 95% CI 0.70-0.94, p=0.005]. Mode 3 also described a loss of spinal curvature (Fig. 1). Mode 9 (0.7% of total model variation), describing narrowing of the lumbar vertebrae) and mode 10 (0.5% of total model variation), describing a disconnect between lumbar and thoracic sections of the vertebral column were associated with an increased risk of OA [mode 9 OR 1.11 95% CI 1.01-1.022, p=0.031; mode 10 OR 1.12 95% CI 1.02-1.23, p=0.011].</div></div><div><h3>CONCLUSION</h3><div>We found that loss of spinal curvature and decreased vertebral body height were negatively associated with OA. Our data indicated that there was an increased risk of OA with rotation of the spine.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100315"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GENETIC SULFATE WASTING, A MONOGENIC CAUSE OF SEVERE INTERVERTEBRAL DISC HEIGHT LOSS","authors":"J.M. Hou ,&nbsp;D.D.G. Chappell ,&nbsp;E. Gkrania-Klotsas ,&nbsp;S.M. Park ,&nbsp;P. Freeman ,&nbsp;M. Duer ,&nbsp;K.E.S. Poole","doi":"10.1016/j.ostima.2025.100293","DOIUrl":"10.1016/j.ostima.2025.100293","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>Loss of function SLC13A1 variants cause failure to reabsorb sulfate in proximal tubule, reduced serum sulfate, and intervertebral disc disease via glycosaminoglycan abnormalities. A rheumatology patient was found to be homozygous for SCL13A1, explaining an extraordinary spinal disc loss phenotype.</div></div><div><h3>OBJECTIVE</h3><div>To define intervertebral disc heights and measure sulfate levels and excretion.</div></div><div><h3>METHODS</h3><div>The homozygote is a 45-year-old female who was only 14 when her already severe degenerative disc disease necessitated her first lumbar laminectomy, with a second performed 4 years later. Her lumbar and thoracic range of motion is greatly reduced. She suffers from severe back pain. Whole genome sequencing identified a stop-gain variant on chromosome 7 at ex.2 c.34C&gt;T p. (Arg12Ter). We measured her radiographic intervertebral disc heights to compare with matched reference values from other studies and older controls from previous Cambridge studies, with 3D reconstructions given the extraordinary disc loss phenotype. The homozygote has a decreased plasma sulfate compared to reference values (149 vs225-494μmol/l). Her urine sulfate is high at 2086umol/l for plasma level. Sulfate excretion rate is excessive 1605mmol/mol creatinine (ref. 444-5431mmol/mol)</div></div><div><h3>RESULTS</h3><div>Radiographic measurements showed widespread loss of disc height. The proband's brother is also under our care for multiple musculoskeletal (MSK) problems; he is heterozygous for SLC13A1 but has normal disc heights.</div></div><div><h3>CONCLUSIONS</h3><div>How renal sulphate wasting results in intervertebral disc degeneration in SLC13A1 homozygotes is unclear. Studying such patients might provide an avenue for therapeutic intervention to target widespread disc disease.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100293"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CHANGES IN JOINT SPACE WIDTH ONE YEAR AFTER WEIGHT LOSS SURGERY","authors":"L.T. Vuononvirta ,&nbsp;T.D. Turmezei ,&nbsp;T.J. Frondelius ,&nbsp;M.T. Nevalainen ,&nbsp;S.J.O. Rytky ,&nbsp;J.H. Määttä ,&nbsp;S.A. Meriläinen ,&nbsp;P.P. Lehenkari ,&nbsp;M.A.J. Finnilä","doi":"10.1016/j.ostima.2025.100328","DOIUrl":"10.1016/j.ostima.2025.100328","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>Weight loss—either conservative or surgical—can slow OA progression. Traditional radiography has limited sensitivity in detecting early or subtle joint changes induced either by OA or weight loss. The limitations of conventional radiography can be alleviated by using CT. Weight-bearing cone-beam CT -imaging can be used to detect the OA induced changes in JSW. These changes can be evaluated by using joint space mapping (JSM), a novel CT-based technique, which enables quantitative 3D assessment of JSW with high spatial resolution.</div></div><div><h3>OBJECTIVE</h3><div>To assess longitudinal changes in left knee joint space width following Roux-en-Y gastric bypass (RYGB) surgery using weight-bearing cone-beam CT, expecting that substantial weight loss would be associated with joint space widening.</div></div><div><h3>METHODS</h3><div>This one-year longitudinal study included 86 morbidly obese subjects (72 F, 14 M), of whom 45 underwent RYGB surgery and 41 served as a control group following conservative weight loss. Subgroup analyses were stratified by weight loss success. Unilateral weight-bearing cone-beam CT scans of the left knee in full extension were acquired at baseline and 1-year follow-up using Planmed Verity (voxel size: 0.2 mm³; 801 × 801 × 651; 96 kVp, 12 mA). Images were processed in DICOM format. JSM was performed using Stradview (v7.21) for segmentation and measurement of JSW, and WxRegSurf (v23) for co-registration to a canonical surface. Subregions were manually defined based on standard tibial cartilage thickness maps. Statistical parametric mapping (SPM) was conducted using MATLAB (2022) and SurfStat. Group differences in subregional mean JSW changes were assessed using two-sample t-tests.</div></div><div><h3>RESULTS</h3><div>In the control group, BMI change was 0.0 ± 5.8 kg/m². RYGB patients with successful weight loss (≥20% BMI reduction) showed a mean BMI change of −11.2 ± 8.4 kg/m², while the unsuccessful subgroup had a change of −5.7 ± 8.1 kg/m². Regarding JSW, both surgical subgroups exhibited a general trend toward joint space redistribution in the knee (Figure 1). However, subregional analysis revealed significant JSW widening (p &lt; 0.05) in the successful group, particularly in the central region (+0.13 ± 0.05 mm) and the medial quarter (+0.22 ± 0.23 mm) of the medial tibiofemoral compartment (Figure 2). Non-significant narrowing was seen anteriorly in the lateral compartment along with posterior widening.</div></div><div><h3>CONCLUSION</h3><div>This study demonstrates that successful weight loss following RYGB surgery is associated with significant region-specific increases in JSW in the medial compartment of the knee at a one-year interval, specifically in the central and inner regions of the medial tibiofemoral compartment. These findings suggest that weight reduction may lead to unloading of joint structures, especially at the medial compartment, which may alleviate cartilage compress","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100328"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"REPEATABILITY OF THE CT OSTEOARTHRITIS KNEE SCORE (COAKS) AND A PROTOTYPE CT-GENERATED KELLGREN AND LAWRENCE GRADE","authors":"T.D. Turmezei ,&nbsp;A. Boddu ,&nbsp;Z. Akkaya ,&nbsp;N.H. Degala ,&nbsp;J.A. Lynch ,&nbsp;N.A. Segal","doi":"10.1016/j.ostima.2025.100346","DOIUrl":"10.1016/j.ostima.2025.100346","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>The CT Osteoarthritis Knee Score (COAKS) is a semiquantitative system for grading structural disease features of knee OA from weight bearing CT (WBCT). Previous work has demonstrated substantial to near-perfect inter- and intra-observer reliability of COAKS with the aid of a feature scoring atlas, but test-retest repeatability has not yet been evaluated. Given that x-ray and CT rely on the same fundamental physical properties, COAKS could also be harnessed to provide a CT-generated KLG and avoid the need for radiographic imaging.</div></div><div><h3>OBJECTIVE</h3><div>(1) To evaluate test-retest repeatability of COAKS; (2) to develop a CT-generated KLG (ctKLG) and evaluate its test-retest repeatability; and (3) to compare this prototype ctKLG against radiographic KLG (rKLG).</div></div><div><h3>METHODS</h3><div>14 individuals recruited and consented at the University of Kansas Medical Center had baseline and follow-up WBCT imaging suitable for analysis. Participant demographics were: mean ± SD age 61.3 ± 8.4 years, BMI 30.7 ± 4.3 kg/m² and male:female ratio 8:6. All scanning was performed on the same XFI WBCT scanner (Planmed Oy, Helsinki, Finland) with the mean ± SD interval between baseline and follow-up attendances 14.9 ± 8.1 days. A Synaflexer^TM device was used to standardize knee positioning during scanning. Imaging acquisition parameters were 96 kV tube voltage, 51.4 mA tube current, 3.5 s exposure time. A standard bone algorithm was applied for reconstruction with 0.3 mm isotropic voxels and a 21 cm vertical scan range. All scans were anonymized prior to analysis both according to the individual and imaging attendance. All knees were reviewed for their COAKS by an experienced musculoskeletal radiologist (T.D.T.). Scores were recorded in a cloud-based file on Google Sheets (alongside the feature atlas in Google Docs) and read by a custom MATLAB script to generate structural heat maps. Test-retest repeatability weighted Kappa (Kw) scores were calculated for each feature (J = JSW; O = osteophytes; C = subchondral cysts; S = subchondral sclerosis) at each compartment (MTF = medial tibiofemoral; LTF = lateral tibiofemoral; PF = patellofemoral; PTF = proximal tibiofibular). A custom MATLAB script applied a decision tree based on recognized KLG verbal definitions to generate ctKLGs for each knee, including a combined score for the MTF and LTF compartments to mimic single-view AP radiographic conditions. A second experienced musculoskeletal radiologist (Z.A.) read study inclusion radiographs for rKLG likewise blinded. Kw was also calculated for ctKLG and rKLG.</div></div><div><h3>RESULTS</h3><div>Structural heatmaps are shown in Figure 1 for participants with ctKLGs of 1 (study ID 117, right knee) and 4 (study ID 101, right knee) alongside difference maps (follow-up minus baseline). These maps give examples of minimal difference in baseline and follow-up grading at the extremes of structural dis","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100346"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A FIRST-IN-HUMAN PHASE 1/2A CLINICAL STUDY OF ICM-203 AAV GENE THERAPY: PROMISING SIGNALS AS A DMOAD CANDIDATE","authors":"A. Heald ,&nbsp;L. Bogdan Solomon ,&nbsp;R. Page ,&nbsp;Y.N. Yum ,&nbsp;M. Park ,&nbsp;J. Myung ,&nbsp;J.E. Collins ,&nbsp;A. Guermazi ,&nbsp;D.W. Kim","doi":"10.1016/j.ostima.2025.100291","DOIUrl":"10.1016/j.ostima.2025.100291","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>ICM-203, a recombinant AAV vector designed to express a truncated form of human Nkx3.2, a transcription factor which plays an important role in both chondrocyte and synoviocyte activity, is in clinical development as a potential DMOAD.</div></div><div><h3>OBJECTIVE</h3><div>An unblinded interim analysis of the low dose cohort of the first-in-human phase 1/2a study of ICM-203 was conducted to assess the safety, immunogenicity, and biological activity of ICM-203.</div></div><div><h3>METHODS</h3><div>In the low dose cohort of this phase 1/2a, double-blind, placebo-controlled, dose escalation study (NCT04875754), 8 subjects with Kellgren-Lawrence grade 3 osteoarthritis (OA) of the knee were randomized to receive a single intra-articular injection of ICM-203 or placebo in a 3:1 ratio. The primary safety endpoint was safety and tolerability of ICM-203 through assessment of treatment-emergent adverse events (TEAEs). Immunogenicity endpoints included measuring serum neutralizing antibody (NAb) titers and T-cell responses to ICM-203’s AAV capsid. As efficacy endpoints, changes in knee pain and function were assessed by the Knee Injury and Osteoarthritis Outcome Score (KOOS) pain subscale and KOOS activities of daily living (ADL) subscale, respectively; these KOOS scores were converted to calculate Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores. Imaging endpoints included Magnetic Resonance Imaging (MRI) Osteoarthritis Knee Scores (MOAKS) focusing on bone marrow lesions (BML), synovitis, articular cartilage damage, and osteophytes.</div></div><div><h3>RESULTS</h3><div>Of 11 screened subjects, 8 qualified and received a single intra-articular injection of ICM-203 (N=6) or placebo (N=2); all subjects completed 52 weeks of follow-up. Subject age ranged from 56 to 73 years; body mass index (BMI) ranged from 24.6 to 38.6 kg/m2. No significant concerns about safety or tolerability arose. The most common treatment-related TEAE was mild to moderate arthralgia, which occurred in 3 of 6 ICM-203 subjects and 1 of 2 placebo subjects. At baseline, 3 ICM-203 subjects had positive NAb responses to AAV capsid; no subjects had significant T-cell responses. All 6 ICM-203 subjects developed both a humoral and cellular response against AAV capsid, whereas neither placebo subject did. ICM-203 subjects with negative NAb at baseline (N=3) demonstrated greater improvement over placebo subjects (N=2) in KOOS pain, KOOS ADL, WOMAC, as well as in imaging endpoints, including MOAKS BML and synovitis. For articular cartilage and osteophytes, no significant changes were observed in any subject between baseline and week 52.</div></div><div><h3>CONCLUSION</h3><div>Intra-articular injections of ICM-203 were safe and well tolerated. ICM-203 appeared to show greater therapeutic activity over placebo in subjects with negative NAb at baseline. Current findings indicate ICM-203 may demonstrate potential as a disease-modifying osteoa","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100291"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EXPLORING THE RELATIONSHIP BETWEEN LIGAMENT MICROSTRUCTURE AND MECHANICS IN OA-AFFECTED HUMAN KNEES","authors":"A. Gheisari ,&nbsp;A. Kositsky ,&nbsp;V.-P. Karjalainen ,&nbsp;S. Das Gupta ,&nbsp;V. Virtanen ,&nbsp;E. Nippolainen ,&nbsp;H. Kröger ,&nbsp;J. Töyräs ,&nbsp;S. Saarakkala ,&nbsp;I.O. Afara ,&nbsp;R.K. Korhonen ,&nbsp;M.A.J. Finnilä","doi":"10.1016/j.ostima.2025.100287","DOIUrl":"10.1016/j.ostima.2025.100287","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;INTRODUCTION&lt;/h3&gt;&lt;div&gt;Knee ligaments play a critical role in providing joint stability and limiting excessive motion. Altered joint loading due to OA can affect various knee tissues, including the ligaments. Previous studies using post-traumatic OA animal models have reported changes in affected knee’s ligament viscoelasticity. This study investigates the microstructural characteristics of OA-affected human knee ligaments and examines whether these features are related to their viscoelastic properties.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;OBJECTIVE&lt;/h3&gt;&lt;div&gt;This study examines whether clustered bundle thickness and the proportion of non-collagenous volume to total ligament volume differs among ligaments in OA-affected knees. It also examines if the mechanical properties of the ligaments are dependent on the bundle thickness and proportion of non-collagenous volume.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;METHODS&lt;/h3&gt;&lt;div&gt;Anterior (ACL; n = 6) and posterior (PCL; n = 7) cruciate ligaments, and medial (MCL; n = 8) and lateral (LCL; n = 7) collateral ligaments were collected from eight fresh-frozen cadaveric knees (five female; age: 65 ± 8 years). All knees had histology-confirmed osteoarthritis (average OARSI grade of tibial cartilage samples: &gt;2). Following preconditioning, samples underwent a mechanical testing protocol that included a two-step stress relaxation (to 4% and 8% strain, 30 min each) and cyclic loading up to 5.0 Hz with ±0.5% strain amplitude and 20 cycles per frequency. Equilibrium modulus was derived from the stress-relaxation data, while dynamic modulus and phase difference were calculated from cyclic loading. After mechanical testing, samples were stored in formalin and underwent gradual dehydration in ethanol and critical point drying. Subsequently, they were imaged by an Xradia 610 Versa X-ray microscopy (XRM, with 4x objective, 40kV voltage, 2s exposure, 10µm voxel size, and binning of 4). The reconstructed XRM images of ligaments were visualized in CTVox, and collagen bundle thickness and non-collagenous volume (by open and close porosity analyses) were calculated in CTAn software. Pearson correlation analysis between collagen bundle thickness and non-collagenous volume and mechanical properties was performed in R 4.2.2.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;RESULTS&lt;/h3&gt;&lt;div&gt;Among the four ligaments, the LCL exhibited the highest bundle thickness, while the PCL showed the highest non-collagenous volume ratio; however, these differences were not statistically significant. Equilibrium modulus was negatively correlated with bundle thickness across all ligaments, and with non-collagenous volume in all but the MCL. The phase difference at 5 Hz in the PCL showed a strong positive correlation with bundle thickness (&lt;em&gt;r&lt;/em&gt; = 0.82). The ACL displayed a strong negative correlation between dynamic modulus at 5 Hz and non-collagenous volume (&lt;em&gt;r&lt;/em&gt; = –0.82).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;CONCLUSION&lt;/h3&gt;&lt;div&gt;Although collagen is the primary load-bearing component of ligaments, incre","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100287"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"STATISTICAL SHAPE MODELING OF COMPUTED TOMOGRAPHY-DERIVED CARPAL BONES REFLECTS SCAPHOLUNATE INTEROSSEOUS LIGAMENT INJURY","authors":"T.P. Trentadue ,&nbsp;A.R. Thoreson ,&nbsp;K.D. Zhao","doi":"10.1016/j.ostima.2025.100324","DOIUrl":"10.1016/j.ostima.2025.100324","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;INTRODUCTION&lt;/h3&gt;&lt;div&gt;Injuries to the scapholunate interosseous ligament (SLIL) are among the most common upper extremity injuries. Early, accurate diagnosis is essential to minimize progression of scapholunate advanced collapse (SLAC)-pattern radiocarpal OA &lt;sup&gt;1&lt;/sup&gt;. SLIL injuries widen the SL interval and contribute to the scaphoid palmar flexion and lunate extension of dorsal intercalated segment instability &lt;sup&gt;2&lt;/sup&gt;. Radiographs are limited by carpal overlap and sensitivity to forearm pronosupination angle &lt;sup&gt;3&lt;/sup&gt;. Volumetric imaging-derived three-dimensional (3D) bone models can be used in statistical shape modeling (SSM) to compare joint alignment and morphology, mitigating challenges of planar imaging.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;OBJECTIVE&lt;/h3&gt;&lt;div&gt;The objective of this study is to compare 3D carpal alignment in wrists with and without SLIL injury using a multi-level (shape and alignment), multi-object (three bone) (MLMO) SSM. We hypothesize that (1) there will be differences in the 3D morphology of the radius, scaphoid, and lunate between wrists with versus without SLIL injury and (2) these differences will affect joint space width.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;METHODS&lt;/h3&gt;&lt;div&gt;Twenty-one participants (14.3% female, median [25&lt;sup&gt;th&lt;/sup&gt;-75&lt;sup&gt;th&lt;/sup&gt; percentile] age 42.0 [26.8-50.0] years, 57.1% dominant hand injury) with arthroscopically-confirmed, unilateral SLIL injuries were recruited to a prospective clinical trial evaluating the role of CT in detecting SLIL injuries &lt;sup&gt;4&lt;/sup&gt;. Bilateral wrist CT images were acquired (SOMATOM Force and NAEOTOM Alpha, Siemens Healthineers, Germany) using published acquisition parameters &lt;sup&gt;4&lt;/sup&gt;. The radius, scaphoid, and lunate were segmented from static CT with semi-automated algorithms (Analyze Pro, Mayo Foundation for Medical Education and Research, Rochester, MN). Segmentation maps were used to generate 3D stereolithography meshes of each bone. Left-handed images were reflected to right-handed anatomies. MLMO SSM was performed (ShapeWorks v6.3.2 &lt;sup&gt;5&lt;/sup&gt;) &lt;sup&gt;6&lt;/sup&gt;. Linear discriminant analysis (LDA), a form of supervised machine learning for dimensionality reduction and class separation, was used to compare uninjured and injured morphologies &lt;sup&gt;7&lt;/sup&gt;. Discriminant scores between wrists were compared with a Wilcoxon signed rank test. SSM-derived bone surface particles of the mean uninjured and mean injured bones were used to calculate interosseous proximities, a metric approximating joint space width, at the SL interval and radioscaphoid joint using &lt;em&gt;k-&lt;/em&gt;nearest neighbor methods within distance thresholds of 5.0 mm and 2.5 mm, respectively &lt;sup&gt;8,9&lt;/sup&gt;. Interosseous proximity distributions were compared using two-sided Kolmogorov-Smirnov (KS2) tests. Significance was defined as α=0.05 with Bonferroni corrections as appropriate.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;RESULTS&lt;/h3&gt;&lt;div&gt;There was a significant difference in LDA joint shape and alignment discriminant scores between un","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100324"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DEEP LEARNING MODELS FOR AUTOMATIC JOINT SPACE WIDTH MEASUREMENT","authors":"Z. Wang ,&nbsp;J. Crawmer ,&nbsp;A. Guermazi ,&nbsp;J. Duryea ,&nbsp;M. Jarraya","doi":"10.1016/j.ostima.2025.100355","DOIUrl":"10.1016/j.ostima.2025.100355","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>Accurate and automated measurement of femorotibial JSW (fJSW) is crucial for assessing and monitoring OA. Current semi-automated (SA) fJSW measurement methods can be time-consuming and prone to inter-observer variability. This work describes the evaluation of a deep learning (DL) approach to substantially automate fJSW measurement from knee radiographs.</div></div><div><h3>OBJECTIVE</h3><div>To evaluate the performance of a DL method for automatic fJSW measurement by comparing it to a standard SA method.</div></div><div><h3>METHODS</h3><div>We randomly selected a single knee radiograph from 295 OAI participants (49 knees for each KL grade 0-4) that were not used for DL training. We measured the BL and 48mo. medial fixed-location fJSW at x=0.25 using both the SA and DL methods. fJSW(x=0.25) have been shown to be the most responsive location compared to other fJSW locations and minimum JSW. The SA fJSW measurement consists of a first step to delineate the femur for setting up the necessary coordinate system, followed by a second step to delineate the femur and tibia for measuring fJSW. We trained separate DL algorithms for each step. The models employed an Attention U-Net architecture for segmenting joint spaces. This network enhances the standard U-Net encoder-decoder structure with attention mechanisms. The U-Net's encoder path progressively captures contextual information through a series of convolutional and pooling layers. The decoder path then gradually reconstructs the segmentation map by up-sampling features and combining them with high-resolution features from the encoder via skip connection. To assess performance, we calculated failure rates (assessed visually) for each step, the fJSW_DL to fJSW_SA correlation (Pearson’s R), and the responsiveness (standardized response mean: SRM). For DL coordinate system failures, the reader made manual corrections so all knees could be passed to the DL fJSW algorithm.</div></div><div><h3>RESULTS</h3><div>There were 58 coordinate systems failures (11.7%) with a KL distribution as follows: KL0:2, KL1:7, KL2:4, KL3:9, KL4:36, and 31 fJSW (6.2%) failures distributed as follows: KL0:4, KL1:1, KL2:4, KL3:7, KL4:15. We excluded the JSW failures leaving knees from 215 participants for the correlation and responsiveness analyses. The Pearson’s correlation was R = 0.97 and the SRM values were -0.64 (SA) and -0.67 (DL). Figure 1 is a Bland-Altman plot comparing the SA and DL fJSW, showing a minor bias and few outliers.</div></div><div><h3>CONCLUSION</h3><div>The results demonstrate that a DL algorithm can measure fJSW accurately with equivalent or better responsiveness compared to the SA method, dramatically reducing the reader time while maintaining performance. The majority of the failures were for KL4 knees, which are less utilized for KOA studies. The DL software has the potential to be used in very large studies and clinical trials of KOA.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100355"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}